[1]} assume that the topic or user intent can be explicitly modeled by keywords, and have developed a target-guided dialog dataset for their study by augmenting the PersonaChat corpus [2]}. Specifically, a rule-based keyword extractor which combines TF-IDF and Part-Of-Speech features for scoring word salience is applied to automatically extracting keywords for each dialog turn. The statistics of this dataset are shown in Table REF .
